8+ years shipping production AI—from satellite image detection to industrial SCADA automation. I build systems that see, learn, and scale.
I'm an AI Engineer whose work spans the full stack of intelligent systems—from training object detection models on satellite imagery to deploying IoT automation across industrial facilities. My career sits at the intersection of computer vision, deep learning, and production engineering.
Currently I coordinate Data Science and LLM courses at the University of Pittsburgh, mentoring 30+ graduate students on Generative AI, RAG architectures, and fine-tuning. Before that, years in the field: automating factories with PLC/SCADA, building predictive maintenance pipelines, and cutting operational costs by up to 90% with AI-powered detection platforms.
I hold an MS in Information Science (AI specialization) from UPitt and carry a Talent Passport Famille visa authorizing work in France. Ready to apply my hands-on PyTorch, TensorFlow, and HPC expertise to your next challenge.
PyTorch, TensorFlow, HPC clusters, GPU acceleration
YOLOv8/v11, RF-DETR, satellite imagery, object detection
RAG pipelines, fine-tuning, agentic workflows, GenAI
IoT, PLC/SCADA, predictive maintenance, edge computing
From industrial automation to AI-powered computer vision—building systems that deliver measurable impact.
Mentoring 30+ Master's students on Generative AI, RAG, and LLM fine-tuning. Previously facilitated courses for 300+ students in Python, Tableau, and Power BI. Supervised 10+ ML project teams with scikit-learn and TensorFlow.
Built AI-powered HVAC rooftop unit detection using FastAPI and React. Trained YOLOv8 and RF-DETR achieving 90% precision / 80% recall on satellite imagery. Integrated Google Maps and Roboflow APIs. Reduced manual detection costs by 90%.
Led IoT and automation across 15+ facilities, saving 2,000+ hours via efficient data pipelines. Built real-time monitoring tools reducing downtime by 30%. Automated ETL workflows cutting processing times by 50%.
ML-driven predictive maintenance reducing failures by 22%. PLC/SCADA automation for 25+ projects, 18% efficiency gain. Led cross-functional team of 10 on analytics and sensor network deployments.
Automated data acquisition and reporting using Python and SQL, increasing reliability by 15%. Control logic for commercial electrical projects, accelerating delivery by 10%.
End-to-end AI systems with measurable real-world impact.
Full-stack HVAC rooftop detection using satellite imagery. YOLOv11 + RF-DETR multi-model inference, Google Maps geospatial APIs, FastAPI backend, React frontend, Docker, deployed to GCP with CI/CD.
Real-time retail analytics with YOLOv8 and ByteTrack for customer tracking, heat mapping, and behavioral analysis.
High-performance gateway for LLM services in Go with intelligent rate limiting, load balancing, and multi-model routing.
InceptionResNetV2-based system detecting manipulated media with advanced augmentation and real-time TensorFlow inference.
Siamese neural network biometric auth for ATMs, deployed with FastAPI, PostgreSQL, and Docker containers.
Full-stack virtual trading platform with WebSocket live updates, portfolio management, and Monte Carlo option pricing.
Open to AI/ML roles in France and remote. Talent Passport visa holder — ready immediately.
Whether you need an AI engineer for computer vision, LLM systems, or industrial automation — I'd love to connect.